Biology subjects

Chen, B.

Publications and source records attributed to Chen, B..

At least 235 records · Page 13Linked to original sources

bioRxiv2022

Dendrite branching receptor HPO-30 uses two novel mechanisms to regulate actin cytoskeletal remodeling

Dendrite morphogenesis is essential for neural circuit formation, yet the molecular mechanisms underlying complex dendrite branching remain elusive. Previous studies on the highly branched C. elegans PVD sensory neuron identified a membrane co-receptor complex that links extracellular signals to intracellular actin remodeling machinery, promoting high-order dendrite branching. In this complex, the claudin-like transmembrane protein HPO-30 recruits the WAVE regulatory complex (WRC) to dendrite branching sites, stimulating the Arp2/3 complex to polymerize actin. We report here our biochemical and structural analysis of this interaction, revealing that the intracellular domain (ICD) of HPO-30 is intrinsically disordered and employs two distinct mechanisms to regulate the actin cytoskeleton. First, HPO-30 ICD binding to the WRC requires dimerization and involves the entire ICD sequence, rather than a short linear peptide motif. This interaction enhances WRC activation by the GTPase Rac1. Second, HPO-30 ICD directly binds to the sides and barbed end of actin filaments. Binding to the barbed end requires ICD dimerization and inhibits both actin polymerization and depolymerization, resembling the actin capping protein CapZ. These dual functions provide an intriguing model of how membrane proteins can integrate distinct mechanisms to fine-tune local actin dynamics.

biochemistry↗

bioRxiv2022

Arf GTPase activates the WAVE Regulatory Complex through a novel binding site

Crosstalk between Rho- and Arf-family GTPases plays an important role in linking actin cytoskeletal remodeling to membrane protrusion, organelle structure, and vesicle trafficking. The central actin regulator, WAVE Regulatory Complex (WRC), is a converging point of Rac1 (a Rho-family GTPase) and Arf signaling in many processes, but how Arf promotes WRC activation is unknown. Here we reconstituted a direct interaction between Arf and WRC. This interaction can be greatly enhanced by Rac1 binding to the D site of the WRC. Arf1 binds to a newly identified conserved surface on Sra1 located between the D site and the WH2 helix of WAVE1, which can drive WRC activation using a mechanism distinct from that of Rac1. Mutating Arf binding site abolishes Arf1-WRC interaction, disrupts Arf1-mediated WRC activation, and impairs lamellipodia morphology. This work uncovers a new mechanism underlying WRC activation and provides a mechanistic foundation for studying how WRC-mediated actin polymerization links Arf and Rac signaling in the cell.

biochemistry↗

bioRxiv2022

Structures reveal a key mechanism of WAVE Regulatory Complex activation by Rac1 GTPase

Rho-family GTPase Rac1 activates the WAVE regulatory complex (WRC) to drive Arp2/3-mediated actin polymerization in many essential processes. Rac1 binds to WRC at two distinct sites--the A and D sites. Precisely how Rac1 binds and how the binding triggers WRC activation remain unknown. Here we report WRC structures by itself, and when bound to single or double Rac1 molecules, at [~]3 [A] resolutions by cryogenic-electron microscopy. The structures reveal that Rac1 binds to the two sites by distinct mechanisms, and binding to the A site, but not the D site, drives WRC activation. Activation involves a series of unique conformational changes leading to the release of sequestered WCA (WH2- central-acidic) polypeptide, which stimulates the Arp2/3 complex to polymerize actin. Together with biochemical and cellular analyses, the structures provide a novel mechanistic understanding of how the Rac1-WRC-Arp2/3-actin signaling axis is regulated in diverse biological processes and diseases.

biochemistry↗

bioRxiv2022

Expression and functional evaluation of recombinant human ABO blood group antigen cleaving glycoside hydrolases α-N-acetylgalactosaminidase, α-galactosidase, and endo-β-galactosidase produced in Escherichia coli

Blood transfusions are an integral component of healthcare; however, availability of viable blood is limited by patient-donor blood type specificity, which contributes to seasonal shortages as well as shortages worldwide, especially in developing countries, and during pandemics or natural disasters. Attempts to increase blood supply with commercial incentives have raised ethical concerns, and current proposed artificial blood substitutes are unable to fully replicate the function of native red blood cells (RBCs). In this study, we explore the potential strategy of alleviating blood shortages through enzymatic conversion of A, B, and AB blood types to blood type O. In theory, this process eliminates ABO patient-donor incompatibility, which increases the supply of universal donor blood. Three glycoside hydrolases, -N-acetylgalactosaminidase, -galactosidase, and endo-{beta}-galactosidase, were selected to act as molecular scissors to cleave terminal residues on A and B RBC surface antigens and catalyze the conversion process. These enzymes were recombinantly expressed in BL21(DE3) Escherichia coli and purified through nickel ion affinity chromatography. A combination of colorimetric substrate assays, thin-layer chromatography, and mass spectroscopy were utilized to evaluate enzyme functionality. Enzyme efficiency was modeled using Michaelis-Menten kinetics. Partial enzymatic A-to-O blood type conversion on porcine red blood cells was observed with slide agglutination tests. Results confirm recombinant enzyme-mediated blood type conversion as a potential strategy for alleviating blood shortages.

biochemistry↗

bioRxiv2022

Structural and functional characteristics of SARS-CoV-2 Omicron subvariant BA.2 spike

The Omicron subvariant BA.2 has become the dominant circulating strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in many countries. We have characterized structural, functional and antigenic properties of the full-length BA.2 spike (S) protein and compared replication of the authentic virus in cell culture and animal model with previously prevalent variants. BA.2 S can fuse membranes more efficiently than Omicron BA.1, mainly due to lack of a BA.1-specific mutation that may retard the receptor engagement, but still less efficiently than other variants. Both BA.1 and BA.2 viruses replicated substantially faster in animal lungs than the early G614 (B.1) strain in the absence of pre-existing immunity, possibly explaining the increased transmissibility despite their functionally compromised spikes. As in BA.1, mutations in the BA.2 S remodel its antigenic surfaces leading to strong resistance to neutralizing antibodies. These results suggest that both immune evasion and replicative advantage may contribute to the heightened transmissibility for the Omicron subvariants.

microbiology↗

bioRxiv2022

Machine-Learning-Based Olfactometry: Odor Descriptor Clustering Analysis for Olfactory Perception Prediction of Odorant Molecules

Although gas chromatography/olfactometry (GC/O) has been employed as a powerful analytical tool in odor measurement, its application is limited by the variability, subjectivity, and high cost of the trained panelists who are used as detectors in the system. The advancements in data-driven science have made it possible to predict structure-odor-relationship (SOR) and thus to develop machine-learning-based olfactometry (ML-GCO) in which the human panelists may be replaced by machine learning models to obtain the sensory information of GC-separated chemical compounds. However, one challenge remained in ML-GCO is that there are too many odor descriptors (ODs) being used to describe the sensory characteristics of odorants. It is impractical to build a corresponding model for each OD. To solve this issue, we propose a SOR prediction approach based on odor descriptor clustering. 256 representative ODs are firstly classified into 20 categories using a co-occurrence Bayesian embedding model. The categorization effect is explained according to the semantic relationships using a pre-trained Word2Vec model. Various molecular structure features including molecularly parameters, molecular fingerprints, and molecular 2D graphic features extracted by convolutional neural networks, are employed to predict the aforementioned odor categories. High prediction accuracies (Area under ROC curve was 0.800{+/-}0.004) demonstrate the rationality of the proposed clustering scenario and molecular feature extraction. This study makes the ML-GCO models much closer to the practical application since they can be expected as either an auxiliary system or complete replacement of human panelists to perform the olfactory evaluation.

molecular biology↗

bioRxiv2022

Odorant molecular feature mining by diverse deep neural networks for prediction of odor perception categories

The use of an artificial intelligence (AI)-based prediction model of the structure-odor relationship (SOR) has shown great potential in the replacement of human panelists in gas chromatography-olfactometry (GCO). However, the Al-based GCO encounters issues such as poor accuracy, generalization, and practicality, owning to the insufficient feature extraction of odorant molecular structure. The purpose of this study is to the prediction of odor perception categories based on the odorant structure feature extraction by diverse deep neural networks, including molecular graphic convolution neural network (MG-CNN), molecular graph transformer neural network, and atom interaction neural networks. The results of the performance comparison of different feature extractors demonstrate that the MG-CNN model produces the highest accuracy and thus may be most suitable for the SOR prediction. It is hoped that the proposed method can be applied in practice as an auxiliary tool of GCO for the sensory evaluation of key compounds in food ingredients. HighlightsO_LIDifferent deep neural networks were used to predict categorized odor descriptors. C_LIO_LIEnd-to-end-based representation learning was performed for molecular feature extraction. C_LIO_LIMolecular graphs with pre-training of convolution neural networks was most accurate. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=82 SRC="FIGDIR/small/488977v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@10495a2org.highwire.dtl.DTLVardef@1fbf27eorg.highwire.dtl.DTLVardef@1ed3664org.highwire.dtl.DTLVardef@8e1383_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2022

Somatosensory Cortical Signature of Facial Nociception and Vibrotactile Touch Induced Analgesia

Pain relief by vibrotactile touch is a common human experience. Previous neurophysiological investigations in animals focused on spinal mechanisms while human studies suggested the involvement of supraspinal mechanisms. Here we asked whether and how the primary somatosensory cortex (S1) is involved in touch induced analgesia. We discovered that in mice, vibrotactile reafferent signals from self-generated whisking significantly reduce facial nociception, which is abolished by specifically blocking touch transmission from thalamus to the barrel cortex (S1B). The presence of whisking altered nociceptive signal processing in S1B neurons. Intrinsic manifold analysis of S1B population activity revealed that whisking pushes the transition of neural state induced by noxious stimuli towards the state encoding non-nocifensive actions. Thus, S1B integrates facial tactile and noxious signals to enable touch mediated analgesia. TeaserVibrotactile signals modulate barrel cortex population dynamics during touch mediated facial analgesia

neuroscience↗

bioRxiv2022

Broadly neutralizing and protective nanobodies against diverse sarbecoviruses

As SARS-CoV-2 Omicron and other variants of concern continue spreading around the world, development of antibodies and vaccines to confer broad and protective activity is a global priority. Here, we report on the identification of a special group of nanobodies from immunized alpaca with exceptional breadth and potency against diverse sarbecoviruses including SARS-CoV-1, Omicron BA.1, and BA.2. Crystal structure analysis of one representative nanobody, 3-2A2-4, revealed a highly conserved epitope between the cryptic and the outer face of the receptor binding domain (RBD). The epitope is readily accessible regardless of RBD in "up" or "down" conformation and distinctive from the receptor ACE2 binding site. Passive delivery of 3-2A2-4 protected K18-hACE2 mice from infection of authentic SARS-CoV-2 Delta and Omicron. This group of nanobodies and the epitope identified should provide invaluable reference for the development of next generation antibody therapies and vaccines against wide varieties of SARS-CoV-2 infection and beyond.

immunology↗

bioRxiv2022

Salicin modifies osteoarthritis progression by binding on IRE1α and inhibiting IRE1α mediated endoplasmic reticulum stress

ObjectivesTo investigate the effect and mechanisms of salicin (SA) on osteoarthritis (OA) progression. MethodsPrimary rat chondrocytes were stimulated with TNF- and treated with or without SA. CCK-8 was utilized to determine the cytotoxicity of SA. RT-qPCR, Western Blotting and immunofluorescence staining were used to detect inflammatory factors, cartilage matrix degeneration markers, cell proliferation and apoptosis markers expression at mRNA and protein levels respectively. EdU assay and flow cytometer analysis were utilized for evaluating cell proliferation and apoptosis. RNA-sequencing, molecular docking, drug affinity responsive target stability and WB were applied to clarify mechanisms. Rat OA model was used to evaluate the effect of intra-articular injection of SA on OA progression. ResultsNo obvious cytotoxicity was found with the treatment of 10 M SA. SA rescued TNF- induced degeneration of cartilage matrix, inhibition of chondrocytes proliferation, and promotion of chondrocytes apoptosis. In mechanism, we clarified SA could directly bind on IRE1 and occupy IRE1 phosphorylation site, followed with inhibiting IRE1 phosphorylation and regulating IRE1 mediated endoplasmic reticulum (ER) stress by IRE1-I{kappa}B-p65 signaling. Finally, intra-articular injection of SA loaded PLGA could ameliorate OA progression by inhibiting IRE1 mediated ER stress in OA model. ConclusionsSA alleviates OA by directly binding on ER stress regulator IRE1 and inhibits IRE1 mediated ER stress by IRE1-I{kappa}B-p65 signaling. Topical use of small molecular drug SA holds the potential of modifying OA progression.

cell biology↗

bioRxiv2022

BNIP3 upregulation characterizes cancer cell subpopulation with increased fitness and proliferation

BNIP3 is a BH3 only protein with both pro-apoptotic and pro-survival roles depending on the cellular context. It remains unclear how BNIP3 RNA level dictates cell fate decisions of cancer cells. Here we undertook a quantitative analysis of BNIP3 expression and functions in single cell datasets of various epithelial malignancies. Our results demonstrated that BNIP3 upregulation characterizes cancer cell subpopulations with increased fitness and proliferation. We further validated the upregulation of BNIP3 in liver cancer organoids compared with 2D culture. Taken together, the combination of in silico perturbations using public single cell datasets and experimental cancer modeling using organoids ushered in a new approach to address cancer heterogeneity.

systems biology↗

bioRxiv2022

Global Spatial Transcriptome of Macaque Brain at Single-Cell Resolution

Global profile of gene expression at single-cell resolution remains to be determined for primates. Using a recently developed technology ("Stereo-seq"), we have obtained a comprehensive single-cell spatial transcriptome map at the whole-brain level for cynomolgus monkeys, with [~]600 genes per cell for 10 m-thick coronal sections (up to 15 cm2 in size). Large-scale single-nucleus RNA-seq analysis for [~]1 million cells helped to identify cell types corresponding to Stereo-seq gene expression profiles, providing a 3-D cell type atlas of the monkey brain. Quantitative analysis of Stereo-seq data revealed molecular fingerprints that mark distinct neocortical layers and subregions, as well as domains within subcortical structures including hippocampus, thalamus, striatum, cerebellum, hypothalamus and claustrum. Striking whole-brain topography and coordinated patterns were found in the expression of genes encoding receptors and transporters for neurotransmitters and neuromodulators. These results pave the way for cellular and molecular understanding of organizing principles of the primate brain.

cell biology↗

bioRxiv2022

Novel Murine models of Mania and Depression

Neuropathological mechanisms triggering manic syndrome or manic episodes in bipolar disorder remain poorly characterised, as the research progress is severely limited by the paucity of appropriate animal models. Here we developed a novel manic mice model by combining a series of chronic unpredictable rhythm disturbances (CURD), which include disruption of circadian rhythm, sleep deprivation, exposure to cone light, with subsequent interference of followed spotlight, stroboscopic illumination, high temperature stress, noise disturbance and foot shock. To validate this novel manic model, we used multiple behavioural and cell biology approaches comparing the CURD-model with healthy controls and depressed mice. The depression model was created by an exposure to an improved chronic unpredictable mild stress, which we defined as chronic unpredictable mild restraint (CUMR). A novel manic mice model induced by environmental stressors and free from genetic or pharmacological interventions will benefit research into pathological mechanisms of mania.

animal behavior and cognition↗

bioRxiv2022

Dynamic changes of gut microbiota associated with blood glucose levels in sows from pregnancy through lactation

Gut microbiota plays important roles in metabolism and physiological homeostasis throughout the lifespan of mammals, including in pregnancy. To evaluate the effects of practically adopted restricted feeding during gestation on blood glucose level and fecal microbiota composition, 31 sows were used to identify the shifts in bacterial assemblages by 16S rRNA sequencing in their early pregnancy, late pregnancy and late lactation stages. We find that the blood glucose was elevated significantly (p < 0.001) in sows offered abundant feed in the late lactation as compared with those of the same cohort in the pregnancy stages when on limited feed. Five bacterial genera were differentially abundant among three stages, and the abundances of Streptococcus (padj < 0.001) and unclassified_f_Lachnospiraceae (padj < 0.001) were increased, whereas the abundances of Lactobacillus (padj = 0.035) and Escherichia-Shigella (padj< 0.001) were decreased in the latter two stages. The genus Prevotellaceae_NK3B31_group (padj = 0.026) displayed higher abundance in the late lactation stage. A significant correlation in the Pearsons analysis indicates that three out of these five differentially abundant genera were related to blood glucose change. Our data show that restricted-fed gestating sows have aberrant blood glucose level and may affect the intestinal microbiota.

microbiology↗

bioRxiv2022

Therapeutic targeting of differentiation state-dependent metabolic vulnerabilities in DIPG

H3K27M diffuse intrinsic pontine gliomas (DIPG) exhibit cellular heterogeneity comprising less-differentiated, stem-like glioma cells that resemble oligodendrocyte precursors (OPC) and more differentiated astrocyte (AC)-like cells. H3K27M DIPG stem-like cells exhibit tumor-seeding capabilities in vivo, a feature lost or greatly diminished in the more differentiated AC-like cells. In this study, we established isogenic in vitro models of DIPG that closely recapitulated the OPC-like and AC-like phenotypes of DIPG cells. Using these tools, we performed transcriptomics, metabolomics, and bioenergetic profiling to identify metabolic programs operative in the different cellular states. From this, we defined new strategies to selectively target metabolic vulnerabilities within the specific tumor populations. Namely, we showed that the AC-like cells exhibited a more mesenchymal phenotype and were thus sensitized to ferroptotic cell death. In contrast, OPC-like cells upregulated cholesterol metabolism and mitochondrial oxidative phosphorylation (OXPHOS) and were accordingly more sensitive to statins and OXPHOS inhibitors. Additionally, statins and OXPHOS inhibitors showed efficacy and extended survival in preclinical orthotopic models established with stem-like H3K27M DIPG cells. Together, this study demonstrates that cellular subtypes within DIPGs harbor distinct metabolic vulnerabilities that can be uniquely and selectively targeted for therapeutic gain.

cancer biology↗

bioRxiv2022

Structure of IgG-Fc hexamer reveals a mutual lock-and-key mode of Fc-Fc interaction

IgG exists mainly as monomer, but recent studies suggest that IgG forms hexamer to mediate antibody functions. Although many structures of IgG monomer and its fragments are determined, there is no IgG hexamer structure at atomic level due to the weak Fc-Fc interactions. Here we engineered a hexameric IgG with IgM tailpiece fusion and determined the structure by cryo-EM. IgG-Fc hexamer forms hexagon symmetry with the six Fcs lie in a plane with Fc-Fc interaction in a mutual lock-and-key mode. This structure provides structural insights into Fc-Fc interaction of IgG and reveals molecular basis for its function.

biophysics↗

bioRxiv2022

Structural and functional impact by SARS-CoV-2 Omicron spike mutations

The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), bearing an unusually high number of mutations, has become a dominant strain in many countries within several weeks. We report here structural, functional and antigenic properties of its full-length spike (S) protein with a native sequence in comparison with those of previously prevalent variants. Omicron S requires a substantially higher level of host receptor ACE2 for efficient membrane fusion than other variants, possibly explaining its unexpected cellular tropism. Mutations not only remodel the antigenic structure of the N-terminal domain of the S protein, but also alter the surface of the receptor-binding domain in a way not seen in other variants, consistent with its remarkable resistance to neutralizing antibodies. These results suggest that Omicron S has acquired an extraordinary ability to evade host immunity by excessive mutations, which also compromise its fusogenic capability.

biochemistry↗

bioRxiv2022

Vitamin C functions as double-edge sword on cancer progression depending on ERK activation or inhibition mediated by its receptor SVCT2

The effect of Vitamin C (Vc) in oncotherapy was controversial for decades. And hyperactivation of extracellular signal-regulated kinase (ERK) drove tumorigenesis. Herein, we demonstrated that Vc activated ERK through sodium-dependent Vc transporter 2 (SVCT2), while high-dose Vc resulted in persistent ERK feedback inhibition following activation. Extracellular Vc binding to SVCT2 initiated ERK activation, then transmembrane transport of Vc induced dimerization of SVCT2. Activated ERK phosphorylated protein tyrosine phosphatase non-receptor type 12 (PTPN12) at Ser434 and inhibited PTPN12 activity, thus enhancing phosphorylation of Janus kinase 2 (JAK2), which phosphorylated growth factor receptor bound protein 2 (GRB2) at Tyr160 to promote GRB2 dimers dissociation and recruitment of GRB2 to SVCT2, leading to further ERK activation. Different cancers have different sensitivities to Vc, the dose effects of Vc on cancer phenotypes depended on that ERK was activated or inhibited. These findings suggest SVCT2 is a Vc receptor mediating the ERK-PTPN12-JAK2-GRB2-ERK positive feedback loop and a potential target for oncotherapy. Abstract graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/475954v2_ufig1.gif" ALT="Figure 1"> View larger version (72K): org.highwire.dtl.DTLVardef@9f75e7org.highwire.dtl.DTLVardef@f5bc18org.highwire.dtl.DTLVardef@10fe4c4org.highwire.dtl.DTLVardef@742b7d_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗